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For Companies At a Glance
- Tasks: Analyze structured and unstructured data to uncover revenue opportunities.
- Company: Join a leading Brokerage in the heart of London.
- Benefits: Enjoy a hybrid work model with competitive salary and bonuses.
- Why this job: Be part of a new team that bridges business and tech, making a real impact.
- Qualifications: Proficiency in SQL, Python, and experience with Azure and BI tools required.
- Other info: Work 2 days a week in the office, collaborating with multiple business units.
The predicted salary is between 64000 - 96000 £ per year.
Data Analyst – City of London – Leading Brokerage – (£80k-£100k)+ Bonus
Our client is a leading Brokerage who are looking to enhance their Data team with the addition of a talented Data Analyst in London to join a newly formed department which will work across multiple business units.
You will be pivotal in analysing both structured and unstructured date within our clients portfolio to identify revenue generating opportunities both inside and outside the business. This role will suit someone with strong stakeholder management skills who can bridge the gap between the business and technology departments.
This role will be a hybrid position requiring 2 days a week in the office, reporting to the London HQ.
What are we looking for?
- Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL)
- Experience using scripting languages such as Python, PowerShell etc.
- Data Modelling, cleansing and enrichment.
- Experience with Microsoft Azure.
- Strong knowledge of ETL/ELT tools and experience navigating data pipelines.
- Creating BI models and dashboards, ideally in Power BI.
Please apply today or get in touch with me directly at
Data Analyst employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific SQL dialects mentioned in the job description, such as T-SQL and PL/SQL. Consider working on personal projects or contributing to open-source projects that utilize these technologies to showcase your skills.
✨Tip Number 2
Since stakeholder management is crucial for this role, practice articulating complex data insights in a clear and concise manner. You might want to prepare examples from past experiences where you successfully communicated technical information to non-technical stakeholders.
✨Tip Number 3
Gain hands-on experience with Microsoft Azure and familiarize yourself with its data services. You can explore Azure's documentation and tutorials to understand how to effectively use its tools for data analysis and modeling.
✨Tip Number 4
Since creating BI models and dashboards in Power BI is part of the role, consider building a portfolio of Power BI projects. This could include visualizations that demonstrate your ability to turn data into actionable insights, which will impress potential employers.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience with SQL, Python, and data modeling in your application.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job. Emphasize your proficiency in SQL, experience with Microsoft Azure, and any relevant projects involving ETL/ELT tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your stakeholder management skills and your ability to bridge the gap between business and technology. Use specific examples from your past work to demonstrate your impact.
Highlight Relevant Projects: If you have worked on projects involving BI models or dashboards, especially in Power BI, make sure to mention these in your application. This will show your practical experience and relevance to the role.
How to prepare for a job interview at Harrington Starr
✨Showcase Your SQL Skills
Be prepared to discuss your advanced proficiency in SQL. You might be asked to solve a problem or explain how you've used SQL in past projects, so brush up on T-SQL, PL/SQL, and Databricks SQL.
✨Demonstrate Your Data Modelling Experience
Highlight your experience with data modelling, cleansing, and enrichment. Be ready to provide examples of how you've improved data quality and usability in previous roles.
✨Bridge the Gap Between Teams
Since strong stakeholder management skills are crucial, prepare to discuss how you've successfully collaborated with both business and technology departments in the past. Share specific instances where you facilitated communication between teams.
✨Familiarize Yourself with BI Tools
As creating BI models and dashboards in Power BI is part of the role, make sure you can talk about your experience with this tool. If possible, bring examples of dashboards you've created to demonstrate your capabilities.
